From c8c1479135ae46aee1ae1a91191142072d8f2ba2 Mon Sep 17 00:00:00 2001
From: RAYMOND Olivier <34789438+Isdinval@users.noreply.github.com>
Date: Thu, 6 Jun 2024 16:37:32 +0200
Subject: [PATCH] Update dashboard_CLOUD.py

---
 dashboard_CLOUD.py | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/dashboard_CLOUD.py b/dashboard_CLOUD.py
index 7b0daae..28c1c7a 100644
--- a/dashboard_CLOUD.py
+++ b/dashboard_CLOUD.py
@@ -283,6 +283,7 @@ def main():
         # Get the data for the selected customer
         input_data      = customer_data_preprocessed[customer_data_preprocessed['SK_ID_CURR'] == sk_id_curr].iloc[0].to_dict()
         input_data_copy = customer_data_copy[customer_data_copy['SK_ID_CURR'] == sk_id_curr].iloc[0].to_dict()
+
         
         # =========================================================================
         # COMPARATIVE ANALYSIS USING GRAPHS
@@ -302,25 +303,24 @@ def main():
         # Separate data for full dataset and current customer
         full_data_values = customer_data_copy[selected_feature]
         customer_value = customer_data_copy[selected_feature].iloc[0]
-        st.write("full_data_values")
-        st.write(full_data_values)
-        st.write("customer_value")
-        st.write(customer_value)
         
-        # Create line plot with highlighting
-        plt.plot(full_data_values, color='gray', label='All Clients', alpha=0.7)  # Add transparency for better visibility
+        # Create bar chart with highlighting
+        plt.figure(figsize=(20, 12))  # Adjust figure size for better visualization
+        
+        # Plot full dataset data with a grey color
+        plt.bar(range(len(full_data_values)), full_data_values, color='gray', alpha=0.7, label='All Clients')
         
-        # Highlight current customer with red dot
-        plt.scatter(customer_index, customer_value, marker='o', color='red', s=100, label='Current Customer')  # Adjust marker size (s)
+        # Highlight current customer with a red bar
+        plt.bar(customer_index, customer_value, color='red', label='Current Customer')
         
         plt.xlabel('Customer Index')
         plt.ylabel(selected_feature)
         plt.title(f'{selected_feature} Distribution')
+        plt.xticks(range(len(full_data_values)), rotation=45, ha='right')  # Rotate x-axis labels for better readability if many customers
         plt.legend()
         plt.tight_layout()
         st.pyplot(plt.gcf())
 
-
     
         # =========================================================================
         # CUSTOMERS BASIC INFORMATIONS